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The volume of cybersecurity vulnerabilities is rising, with close to  30% more vulnerabilities found in 2022 vs. 2018 . Costs are also rising, with a data breach in 2023 costing  $4.45M on average vs. $3.62M in 2017 . In Q2 2023,  a total of 1386 victims were claimed  by ransomware attacks compared with just 831 in Q1 2023. The  MOVEit attack has claimed over 600 victims  so far and that number is still rising. To people working in cybersecurity today, the value of automated threat intelligence is probably pretty obvious. The rising numbers specified above, combined with the  lack of cybersecurity professionals availabl e, mean automation is a clear solution. When threat intelligence operations can be automated, threats can be identified and responded to, and with less effort on the part of engineers. However, a mistake that organizations sometimes make is assuming that once they've automated threat intelligence workflows, humans are out of the picture. They conflate automation

Over the past few years, cybersecurity has become a major concern for businesses around the globe. With the total cost of cybercrime in 2023 forecasted to reach $8 Trillion – with a T, not a B – it's no wonder that cybersecurity is top of mind for leaders across all industries and regions. However, despite growing attention and budgets for cybersecurity in recent years, attacks have only become more common and more severe. While threat actors are becoming increasingly sophisticated and organized, this is just one piece to the puzzle in determining why cybercrime continues to rise and what organizations can do to stay secure. 🔓  Unlock the future of cybersecurity: Get ahead of the game with 2023 Cyber Security Trends Forecast ! Discover the major trends of 2022 and learn how to protect your business from emerging threats in the coming year.  ⚡  Get your insider's guide to cybersecurity now! An abundance of cyber spending, a shortage of cyber security It's easy to assume that t

As cloud technology evolves, so does the challenge of securing sensitive data. In a world where data duplication and sprawl are common, organizations face increased risks of non-compliance and unauthorized data breaches. Sentra's DSPM (Data Security Posture Management) emerges as a comprehensive solution, offering continuous discovery and accurate classification of sensitive data in the cloud. This informative webinar, " Securing Sensitive Data Starts with Discovery and Classification: SoFi's DSPM Story " unveils the success story of SoFi, a pioneering cloud-native financial services provider, and its journey with Sentra's DSPM. It explores the challenges and triumphs in securing cloud data and a roadmap to implementing effective DSPM strategies in your organization. Expert Panel: Aviv Zisso:  As Director of Customer Success at Sentra, Aviv brings deep insights into data security needs and solutions. Pritam H Mungse:  SoFi's Director of Product Security, Pr